the size of the layer data block is 256 × 256 block size currently adopted after considering the network transmission efficiency and the data loading efficiency.

The sliced data are stored in the form of "/Z/Y/x.jpg ("/hierarchy number/row number/column number. jpg). And maps this file path to the DocumentRoot through the Apache server. When data is accessed, the data can be quickly retrieved by analyzing the URL path. For example: the method comprises the steps of mapping/COMM into a root directory, directly retrieving data in a mode of a root path + a relative path when acquiring data through http,// 10.24.10.95/FY4A/L2/IMAGE/PRJ/500M/0064/20171227023834/4/28/10.jpg, adopting a resource-oriented RESTful architecture form by a/COMM/FY 4A/L2/IMAGE/PRJ/500M/0064/20171227023834/4/28/10.jpg data access scheme, identifying any data resource (including IMAGEs, files and the like) in the architecture by a corresponding URL, and operating the user by the URL corresponding to the resource when the user wants to acquire the data, wherein the data in the operations are transmitted in a certain expression form of the user, such as Html, JSON, JPEG and the like. In addition to the above-described acquisition form of the tile data resources of the image product, the data can be processed through restful api, so as to provide a plurality of data types such as GEOjson and KML for the user.

In data management, all meteorological and satellite remote sensing products are abstracted into a product object with the attributes of data type, data resource path, palette resource path, data timeline resource path and the like, and are managed through configuration. After the product display program obtains the configuration information, interactive operation can be provided for the user according to the definition of the product attribute.

By the reasonable comprehensive application of the various means, the college organization and management of multi-level, multi-subject and multi-form mass meteorological and satellite remote sensing data can be well realized. The whole system has the advantages of openness, easy expansion, easy maintenance and the like.

Fig. 4 shows a schematic structural diagram of a meteorological data and satellite remote sensing data processing device provided by this embodiment, the device includes: adata normalization module 401, adata storage module 402, and adata query module 403, wherein:

thedata standardization module 401 is configured to standardize the received meteorological data and satellite remote sensing data according to a preset data format to generate standardized data;

thedata storage module 402 is configured to divide the standardized data into image data, vector data, and elevation data according to data types, and perform unified storage, management, and access on the image data, the vector data, and the elevation data by using a file system and a relational database;

thedata query module 403 is configured to receive an access request sent by a client through a standardized interface, query in the relational database according to the open geospatial information federation OGC standard and the access request, and automatically publish a result obtained by the query according to a publication policy.

Specifically, thedata standardization module 401 standardizes the received meteorological data and satellite remote sensing data according to a preset data format to generate standardized data; thedata storage module 402 divides the standardized data into image data, vector data and elevation data according to data types, and performs unified storage, management and access on the image data, the vector data and the elevation data by adopting a file system and a relational database; thedata query module 403 receives an access request sent by a client through a standardized interface, queries in the relational database according to the open geospatial information federation OGC standard and the access request, and automatically issues a result obtained by querying according to an issuing strategy.

Further, on the basis of the above device embodiment, thedata storage module 402 is specifically configured to divide the standardized data into image data, vector data, and elevation data according to a data type, abstract the image data, the vector data, and the elevation data into each product object according to a data type, a data resource path, a palette resource path, and a data timeline resource path, and uniformly store, manage, and access each product object by using a file system and a relational database.

Further, on the basis of the above device embodiment, thedata query module 403 is specifically configured to construct an image pyramid from the query result according to an image pyramid technology, and automatically publish the query result according to the current resolution, the image pyramid, and a publication policy.

The meteorological data and satellite remote sensing data processing device described in this embodiment may be used to implement the above method embodiments, and the principle and technical effect are similar, which are not described herein again.

Referring to fig. 5, the electronic device includes: a processor (processor)501, a memory (memory)502, and abus 503;

wherein,

theprocessor 501 and thememory 502 are communicated with each other through thebus 503;

theprocessor 501 is used to call program instructions in thememory 502 to perform the methods provided by the above-described method embodiments.

The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments.

The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the method embodiments described above.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

It should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A meteorological data and satellite remote sensing data processing method is characterized by comprising the following steps:

carrying out standardization processing on received meteorological data and satellite remote sensing data according to a preset data format, and firstly, dividing the received meteorological data and the satellite remote sensing data into primary data, secondary data and tertiary data according to levels; wherein, the primary data is cloud image product data after quality inspection, calibration and positioning; respectively carrying out standardized design on the divided primary data, the divided secondary data and the divided tertiary data, wherein the standardized design comprises a file name, a file format, a storage mode of the data and a uniform data format defined in the data management generation system to generate standardized data;

dividing the standardized data into image data, vector data and elevation data according to data types, abstracting the image data, the vector data and the elevation data into each product object with product attribute definition according to the data types, data resource paths, palette resource paths and data timeline resource paths, uniformly storing, managing and accessing each product object by adopting a file system and a relational database, and specifically managing each generated product object by a uniform directory structure;

and receiving an access request sent by a client through a standardized interface, inquiring in the relational database according to the open geographic space information alliance OGC standard, the access request and the product attribute definition, and automatically issuing the result obtained by inquiry according to an issuing strategy.

2. The method according to claim 1, wherein the automatically publishing the result obtained by the query according to the publishing policy specifically comprises:

3. The method according to claim 1, wherein the automatically publishing the result obtained by the query according to the publishing policy specifically comprises:

4. The method of any one of claims 1-3, wherein the standardized data comprises cloud map image data, cloud detection data, cloud phase data, cloud roof height data, precipitation estimation data, water body monitoring data, fire monitoring data, surface temperature data, and convection onset data.

5. A meteorological data and satellite remote sensing data processing apparatus, comprising:

the data standardization module is used for standardizing the received meteorological data and satellite remote sensing data according to a preset data format, and firstly, the received meteorological data and the satellite remote sensing data are divided into primary data, secondary data and tertiary data according to grades; wherein, the primary data is cloud image product data after quality inspection, calibration and positioning; respectively carrying out standardized design on the divided primary data, the divided secondary data and the divided tertiary data, wherein the standardized design comprises a file name, a file format, a storage mode of the data and a uniform data format defined in the data management generation system to generate standardized data;

the data storage module is used for dividing the standardized data into image data, vector data and elevation data according to data types, abstracting the image data, the vector data and the elevation data into each product object with product attribute definition according to the data types, data resource paths, palette resource paths and data timeline resource paths, uniformly storing, managing and accessing each product object by adopting a file system and a relational database, and specifically managing each generated product object through a uniform directory structure;

and the data query module is used for receiving an access request sent by a client through a standardized interface, querying in the relational database according to the open geographic space information alliance OGC standard, the access request and the product attribute definition, and automatically issuing a query result according to an issuing strategy.

6. The apparatus according to claim 5, wherein the data query module is specifically configured to construct an image pyramid from the query result according to an image pyramid technique, and automatically publish the query result according to the current resolution, the image pyramid, and a publication policy.

7. An electronic device, comprising:

at least one processor; and

at least one memory communicatively coupled to the processor, wherein:

the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 4.

8. A non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the method according to any one of claims 1 to 4.